code: def run_repro(
      mod,
      load_args,
      *,
      command="run",
      accuracy: Union[bool, str] = "",
      save_dir=None,
      autocast=False,
      backend="inductor",
      **kwargs,
  ):
      for k in kwargs:
          log.warning(
              "Unrecognized kwarg %s; perhaps this repro was made on a newer version of PyTorch",
              k,
          )
  
      if accuracy is True:
          accuracy = "accuracy"
      elif accuracy is False:
          accuracy = ""
  
      parser = argparse.ArgumentParser(
          description=f"""\
  An after_dynamo repro script, typically triggering a bug in Dynamo or
  AOTAutograd.  When run with no arguments, this script defaults to running
  '{command}'.  Extra flags may be available; to find out more, try '{command}
  --help'.  There are also alternate subcommands available, see below.
  
  default settings on this script:
    {accuracy=}
    {save_dir=}
  """,
          formatter_class=argparse.RawTextHelpFormatter,
      )
  
      def common_flags(parser):
          accuracy_group = parser.add_mutually_exclusive_group()
          accuracy_group.add_argument(
              "--no-accuracy",
              dest="accuracy",
              action="store_const",
              const="",
              default=accuracy,
              help="do not test accuracy, just run the module and see if it errors",
          )
          accuracy_group.add_argument(
              "--accuracy",
              action="store_const",
              const="accuracy",
              default=accuracy,
              help="test accuracy",
          )
          parser.add_argument(
              "--save-dir",
              type=str,
              default=save_dir,
              metavar="DIR",
              help="directory where saved inputs live",
          )
          parser.add_argument(
              "--no-save-dir",
              dest="save_dir",
              action="store_const",
              const=None,
              help="don't use any directory for saved inputs",
          )
          parser.add_argument(
              "--no-isolate",
              dest="isolate",
              action="store_false",
              default=False,
              help="no isolate (doesn't do anything for after_dynamo)",
          )
          parser.add_argument(
              "--autocast",
              default=autocast,
              action="store_true",
              help="use torch.cuda.amp.autocast",
          )
          parser.add_argument(
              "--no-autocast",
              dest="autocast",
              action="store_false",
              help="don't use torch.cuda.amp.autocast",
          )
          parser.add_argument(
              "--backend",
              type=str,
              default=backend,
              metavar="BACKEND",
              help="torch.compile backend to use",
          )
  
      subparsers = parser.add_subparsers(
          dest="command", metavar="{run,minify}", required=True
      )
  
      parser_run = subparsers.add_parser(
          "run",
          help="just run the repro",
      )
      common_flags(parser_run)
      parser_run.add_argument(
          "--only-fwd",
          action="store_true",
          help="don't run backwards compilation for testing",
      )
  
      parser_minify = subparsers.add_parser(
          "minify", help="run the minifier on the repro"
      )
      common_flags(parser_minify)
  
      args = None
      if len(sys.argv) <= 1:
          args = [command, *sys.argv[1:]]
  
      options = parser.parse_args(args)
      COMMAND_FNS = {
          "minify": repro_minify,
          "run": repro_run,
      }
      COMMAND_FNS[options.command](options, mod, load_args)
  
imports: import argparse
  import copy
  import functools
  import logging
  import os
  import shutil
  import sys
  import textwrap
  from importlib import import_module
  from typing import Union
  import torch
  import torch.fx
  from torch._dynamo.debug_utils import AccuracyError, backend_accuracy_fails, BUCK_CMD_PREFIX, BuckTargetWriter, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, minifier_dir, NNModuleToString, NopInputReader, run_fwd_maybe_bwd, same_two_models
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets
  from torch.hub import tqdm
  from ..None import config
  from ..backends.registry import lookup_backend, register_debug_backend
  from ..debug_utils import clone_inputs_retaining_gradness
label_desc: Use image node_id 12 for calling a global function with example usage: run_repro(mod, load_args) without return types